Top Tech Jobs & Startup Jobs in Chicago, IL

Lead enterprise AI product portfolio strategy and roadmaps, translate AI capabilities into business value, build business cases and KPIs, embed responsible AI and governance, and align cross-functional stakeholders to drive adoption and continuous improvement.

Lead design, deployment, and optimization of enterprise Linux infrastructure across on-prem and AWS. Drive automation with Ansible/AAP, manage Red Hat Satellite, AMI pipelines, OpenShift/Kubernetes, enterprise patching, DR planning/testing, security hardening, monitoring, and mentor teams while providing escalation and 24/7 on-call support.

Lead design and execution of performance and parallel testing across cloud and on-prem systems. Develop test plans, automation and comparison tools, monitor and analyze results against SLAs, identify bottlenecks, collaborate with development/DevOps/infra teams, and document findings. Incorporate AI-driven testing methods and support integration of testing into CI/CD pipelines.

The role involves managing the ServiceNow CMDB, including configuration, implementation, and maintenance of CMDB processes, while ensuring alignment with ITIL frameworks and enhancing service management practices.

Lead the development of enterprise-wide test automation frameworks, driving automation adoption across applications and platforms, and managing a team of contributors.

This role manages Technology Operations, driving process improvements, analyzing production performance, troubleshooting incidents, and ensuring operational readiness by adhering to ITIL best practices.

Design and build cloud infrastructure, implement CI/CD, automate infrastructure as code, and provide support for cloud systems.

The Principal Software Engineer will support DevOps processes, automate workflows, manage infrastructure using Kubernetes and AWS, and drive technology best practices in the SDLC.

Join OCC's data analytics team to enhance analytics capabilities, develop data solutions, collaborate with business units, and establish standards for data analytics processes.

The Associate Principal in Quantitative Risk Management will develop model analytics, perform testing, support product launches, and enhance tools while collaborating with multiple stakeholders.